abellina opened a new pull request #26078: SPARK-29151: Support fractional 
resources for task resource scheduling
URL: https://github.com/apache/spark/pull/26078
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   ### What changes were proposed in this pull request?
   This PR adds the ability for tasks to request fractional resources, in order 
to be able to execute more than 1 task per resource. For example, if you have 1 
GPU in the executor, and the task configuration is 0.5 GPU/task, the executor 
can schedule two tasks to run on that 1 GPU.
   ### Why are the changes needed?
   Currently there is no good way to share a resource such that multiple tasks 
can run on a single unit. This allows multiple tasks to share an executor 
   ### Does this PR introduce any user-facing change?
   Yes: There is a configuration change where `spark.task.resource.[resource 
type].amount` can now be fractional.
   ### How was this patch tested?
   Unit tests and manually on standalone mode, and yarn.

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